Diagnosis of cervical cancer using effective hybrid model in Bangladesh

Diagnosis of cervical cancer using effective hybrid model in Bangladesh

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Detalhes bibliográficos
Main Authors: Saad-Ul-Kabir, Syed, Neeha, Ashwaq Noor, Ibnat, Rifah Nanjiba, Prottasha, Tanjila Haque, Ananna, Sadika Rahman
Outros Autores: Islam, Md. Saiful
Formato: Thesis
Idioma:English
Publicado em: Brac University 2021
Assuntos:
Cervical Cancer
K-Nearest Neighbor
Hybrid Machine Learning
Demography
Stochastic Gradient Descent
Recurrent Neural Network
Support Vector Machine
Random Forest
Naive Bayes
AdaBoost
Cervical cancer
Acesso em linha:http://hdl.handle.net/10361/15163

Internet

http://hdl.handle.net/10361/15163

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